2.4k citations · 10k across the 91 of their papers we have counts for
93 papers
The Uniqueness of Exponential Second-Order Expected Utility
Yosuke Hashidate
Exponential Second-Order Expected Utility (SOEU) underlies the entropic approach to model uncertainty. This paper explores in what sense that functional form is essential. In the m…
Tracing the Cosmic Origins: Machine Learning Reconstruction of the Primordial Density Field from EoR Observations
Anchal Saxena, P. Daniel Meerburg, Guochao Sun +2
Reconstructing the initial conditions of the Universe from late-time tracers would unlock cosmological information buried by non-linear structure formation and astrophysics. We rec…
Scalable Bayesian data curation for next-generation radio experiments
S. A. K. Leeney, E. de Lera Acedo, W. J. Handley +42
Next-generation radio telescopes produce data volumes that preclude manual quality assessment, yet data curation remains essential for science. We present a general, fully automati…
Future Parameter Constraints from Weak Lensing CMB and Galaxy Lensing Power- and Bispectra
Jonas Frugte, P. Daniel Meerburg
Upcoming stage 4 surveys, such as the Simons Observatory, LSST, and Euclid, are poised to measure weak gravitational lensing of the Cosmic Microwave Background (CMB) and galaxies w…
Mapping neutral islands during end stages of reionization with photometric intergalactic medium tomography
Sambit K. Giri, Koki Kakiichi, Michele Bianco +1
During the epoch of reionization (EoR), the first generation of luminous sources in our Universe emitted ionizing photons that almost completely ionized the gas in the intergalacti…
Radiometer Calibration using Machine Learning
S. A. K. Leeney, H. T. J. Bevins, E. de Lera Acedo +35
Radiometers are crucial instruments in radio astronomy, forming the primary component of nearly all radio telescopes. They measure the intensity of electromagnetic radiation, conve…